Title :
An improvement on the Euler number computing algorithm used in MATLAB
Author :
Bin Yao ; Hua Wu ; Yun Yang ; Yuyan Chao ; Lifeng He
Author_Institution :
Artificial Intell. Inst., Shaanxi Univ. of Sci. & Technol., Xi´an, China
Abstract :
Computation of the Euler number of a binary image is often necessary in image matching, image database retrieval, image analysis, pattern recognition, and computer vision. This paper proposes an improvement on the Euler number computing algorithm used in the famous image processing tool MATLAB. By use of the information obtained during processing the previous pixel, the number of times of checking the neighbor pixels for processing a pixel decrease from 4 to 2. Our method is very simple in principle, and easily implemented. The experimental results demonstrated that our method outperforms significantly conventional Euler number computing algorithms.
Keywords :
computer vision; feature extraction; Euler number computing algorithm; Matlab; binary image; computer vision; image analysis; image database retrieval; image matching; pattern recognition; pixel processing; Algorithm design and analysis; Educational institutions; Image processing; Labeling; MATLAB; Noise; Pattern recognition; Euler number; MATLAB; binary image; computer vision; pattern recognition;
Conference_Titel :
TENCON 2013 - 2013 IEEE Region 10 Conference (31194)
Conference_Location :
Xi´an
Print_ISBN :
978-1-4799-2825-5
DOI :
10.1109/TENCON.2013.6718446